[Hiring] Senior Consultant/Manager - Analytics Consulting @Tiger Analytics Inc.

Role Description

We are seeking an analytics professional to join our team and leverage advanced data science techniques to solve complex business problems for our enterprise clients. In this role, you will:

• Agentic AI Understanding & Delivery Ownership: Demonstrate a strong understanding of Agentic AI and AI agents, working closely with IT and business teams to define requirements, align on solution design, and manage end-to-end delivery. Take high ownership of execution, coordinating with the team responsible for building the agents to ensure solutions meet business objectives and deliver measurable value.
• End-to-End Analytics Solution Delivery: Develop and deliver end-to-end analytics solutions based on a deep understanding of business problems, ensuring efficient, predictable, and sustainable execution.
• Strategic Translation: Work directly with client stakeholders to translate business challenges into high-level analytics solution designs that generate actionable insights and business value.
• Stakeholder Management & Communication: Build strong relationships with client stakeholders, present analytical solutions to business audiences, and communicate findings and recommendations to senior management.
• Cross-Functional Collaboration: Collaborate with client stakeholders and globally distributed Tiger Analytics teams to manage analytics projects and ensure successful delivery.
• Analytical Problem-Solving: Work with team members to identify and apply appropriate data science and analytical techniques to derive meaningful insights and address business challenges.
• Business Value & Operationalization: Demonstrate the robustness and business impact of analytical solutions, and develop implementation plans to operationalize them effectively.

Qualifications

• 6-10 years of professional work experience with at least 5 years in data analytics.
• Graduate in Business Analytics or MBA or equivalent work experience.

Requirements

• Identify and gather business requirements for AI agent use cases, define workflows and expected outcomes, and translate business needs into clear requirements for the technical team to build and implement agentic solutions.
• Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach.
• Solid understanding of statistical and machine learning algorithms.
• Strong project management and team management skills and ability to work with global teams.
• Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau.
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.

Benefits

• Medical, Dental, Vision, Retirement Accounts, Long and Short-Term Disability, Life Insurance, HSA/FSA Accounts (USA), and Discretionary time off.
• Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.